| 1. |
- Sundelöf, Johan, et al.
(author)
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Plasma β Amyloid and the Risk of Alzheimer Disease and Dementia in Elderly Men : A Prospective, Population-Based Cohort Study
- 2008
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In: Archives of Neurology. - : American Medical Association (AMA). - 0003-9942 .- 1538-3687. ; 65:2, s. 256-63
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Journal article (peer-reviewed)abstract
- BACKGROUND: Beta amyloid (Abeta) protein accumulates in the brains of individuals with Alzheimer disease (AD) and is detectable in cerebrospinal fluid and plasma. OBJECTIVE: To examine plasma levels of Abeta peptides Abeta(40) and Abeta(42) as predictors of incident AD and other types of dementia. DESIGN: Prospective, population-based cohort study. SETTING: The Uppsala Longitudinal Study of Adult Men. PARTICIPANTS: Plasma Abeta(40) and Abeta(42) levels were analyzed as predictors of incident AD in 1045 men at age 70 years and 680 men at age 77 years using Cox proportional hazards analyses. Alzheimer disease and other types of dementia were diagnosed by standardized screening, clinical evaluation, and medical record review. MAIN OUTCOME MEASURES: Hazard ratios of AD (primary outcome) and vascular dementia or other dementia (secondary outcomes) according to baseline levels of plasma Abeta(40) and Abeta(42). RESULTS: From the age of 77 years at baseline, 46 individuals developed AD at follow-up (median, 5.3 years). A low plasma Abeta(40) level at age 77 years was associated with higher incidence of AD. The multivariate-adjusted hazard ratio was 4.87 (95% confidence interval, 1.63-14.6) for the lowest Abeta(40) tertile compared with the highest tertile. On follow-up from age 70 years at baseline (median, 11.2 years), 82 individuals developed AD. Plasma Abeta(40) and Abeta(42) levels measured at age 70 years were not significantly associated with incident AD. CONCLUSIONS: Low plasma Abeta(40) levels predicted incident AD in elderly men independently of potential confounders. Plasma Abeta(42) levels were not significantly associated with AD incidence. The clinical value of Abeta measurement in plasma remains to be established in future studies.
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| 3. |
- Arnlöv, Johan, et al.
(author)
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Impact of BMI and the metabolic syndrome on the risk of diabetes in middle-aged men
- 2011
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In: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 34:1, s. 61-65
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Journal article (peer-reviewed)abstract
- OBJECTIVE- The existence of an obese subgroup with a healthy metabolic profile and low diabetes risk has been proposed; yet long-term data are lacking. We aimed to investigate associations between combinations of BMI categories and metabolic syndrome and risk of type 2 diabetes in middle-aged men. RESEARCH DESIGN AND METHODS- At age 50, cardiovascular risk factors were assessed in 1,675 participants without diabetes in the community-based Uppsala Longitudinal Study of Adult Men (ULSAM) study. According to BMI/metabolic syndrome status, they were categorized as normal weight (BMI <25 kg/m(2)) without metabolic syndrome (National Cholesterol Education Program criteria, n = 853), normal weight with metabolic syndrome (n = 60), overweight (BMI 25-30 kg/m(2)) without metabolic syndrome (n = 557), overweight with metabolic syndrome (n = 117), obese (BMI >30 kg/m(2)) without metabolic syndrome (n = 28), and obese with metabolic syndrome (n = 60). We investigated the associations between BMI/metabolic syndrome categories at baseline and diabetes incidence. RESULTS- After 20 years, 160 participants had developed diabetes. In logistic regression models adjusting for age, smoking, and physical activity, increased risks for diabetes were observed in the normal weight with metabolic syndrome (odds ratio 3.28 [95% CI] 1.38-7.81; P = 0.007), overweight without metabolic syndrome (3.49[2.26-5.42]; P < 0.001), overweight with metabolic syndrome (7.77 [4.44-13.62]; P < 0.001), obese without metabolic syndrome (11.72 [4.88-28.16]; P < 0.001), and obese with metabolic syndrome (10.06 [5.19-19.51]; P < 0.001) categories compared with the normal weight without metabolic syndrome category. CONCLUSIONS- Overweight or obese men without metabolic syndrome were at increased risk for diabetes. Our data provide further evidence that overweight and obesity in the absence of the metabolic syndrome should not be considered a harmless condition.
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| 4. |
- Ingelsson, Erik, et al.
(author)
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Metabolic syndrome and risk for heart failure in middle-aged men
- 2006
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In: Heart. - : BMJ. - 1355-6037 .- 1468-201X. ; 92:10, s. 1409-1413
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Journal article (peer-reviewed)abstract
- Objective: To explore metabolic syndrome as a possible risk factor for development of heart failure (HF). Design: Community-based cohort study. Setting: Uppsala, Sweden. Participants: 2314 50-year-old men free from HF, myocardial infarction and valvular disease at baseline were enrolled between 1970 and 1974 and were followed up until the age of 70. A modified National Cholesterol Education Program definition of metabolic syndrome was used with body mass index in the place of waist circumference. Main outcome measure: First hospitalisation for HF. Results: In multivariable Cox proportional hazards models adjusted for established risk factors for HF (hypertension, diabetes, ECG left ventricular hypertrophy, smoking and body mass index), the presence at baseline of metabolic syndrome (hazard ratio 1.66, 95% confidence interval (CI) 1.02 to 2.70) was a predictor of subsequent HF. This relation was even stronger after adjustment for the presence of an acute myocardial infarction during follow up in addition to the other established risk factors for HF (hazard ratio 1.80, 95% CI 1.11 to 2.91). Conclusion: Metabolic syndrome was a significant predictor of HF, independent of established risk factors for HF including an interim myocardial infarction, during two decades of follow up in a community-based sample of middle-aged men. This implies that metabolic syndrome provides important risk information beyond that of established risk factors for HF.
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| 5. |
- Lithell, Hans, et al.
(author)
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Epidemiological and clinical studies on insulin resistance and diabetes
- 2000
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In: Upsala Journal of Medical Sciences. - 0300-9734. ; 105:2, s. 135-150
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Journal article (pop. science, debate, etc.)abstract
- In Uppsala, extensive epidemiological and clinical studies on insulin resistance and diabetes have been ongoing for the past 30 years. A prospective cohort study of men born 1920-24, living in Uppsala County, was initiated during 1969-74 (the Uppsala Longitudinal Study of Adult Men, ULSAM). Risk factors for cardiovascular disease were examined in 2,322 men, and re-examinations have been performed every 10 years. At the first follow-up, when the men were 60 years old, insulin resistance was found to be a risk factor for development of hypertension and diabetes. In addition, treatment with antihypertensive medication was an independent risk factor for development of diabetes. These findings resulted in a series of clinical studies on metabolic effects of antihypertensive agents. At the second follow-up, when the men were 70 years old, the development of hypertension and diabetes was once again in focus, but at this time, cross-sectional and prospective studies of other cardiovascular determinants, such as circadian blood pressure pattern, left ventricular geometry and function, muscle morphology, ion status, fibrinolysis and cognitive function, were also performed. The cohort has furthermore been linked to the Swedish census and hospital discharge and cause of death registries, it has been used for studies on relationships between birth weight and cardiovascular disease, and genetic analyses have been performed, taking advantage of the long observation time obtained in this cohort. The cohort is currently being re-examined for the third time, and will hopefully continue to provide valuable information on the epidemiology of diabetes and cardiovascular disease in the future.
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| 6. |
- Nerpin, Elisabet, et al.
(author)
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The combined contribution of albuminuria and glomerular filtration rate to the prediction of cardiovascular mortality in elderly men
- 2011
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In: Nephrology, Dialysis and Transplantation. - : Oxford University Press (OUP). - 0931-0509 .- 1460-2385. ; 26:9, s. 2820-2827
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Journal article (peer-reviewed)abstract
- BACKGROUND: Cardiovascular risk prediction is particularly important in the primary prevention of cardiovascular disease (CVD). Yet, data on whether the combined addition of albuminuria and estimated glomerular filtration rate (eGFR) improves cardiovascular risk prediction in individuals without CVD in the community is scarce.METHODS: We investigated associations between urinary albumin excretion rate (UAER), cystatin C-based eGFR and cardiovascular mortality in a community-based cohort of elderly men (ULSAM study; n = 1113, mean age 71 years, 208 cardiovascular deaths, median follow-up 12.9 years) with prespecified analyses in participants without CVD (n = 649, 86 cardiovascular deaths).RESULTS: Using multivariable Cox regression, higher UAER and lower eGFR were associated with increased risk for cardiovascular mortality independently of established cardiovascular risk factors in the whole sample and in men without CVD at baseline [subsample without CVD: UAER; hazard ratio (HR) per 1 SD 1.26, 95% confidence interval (CI) 1.05-1.51, P = 0.01; eGFR: HR per 1 SD 0.74, 95% CI 0.59-0.92, P = 0.007]. Analyses of model discrimination, calibration, reclassification and global fit suggested that UAER and eGFR also add relevant prognostic information beyond established cardiovascular risk factors in participants without prevalent CVD. Interestingly, established cutoffs used to diagnose microalbuminuria (UAER > 20 μg/min) and chronic kidney disease Stage 3 (eGFR < 60 mL/min/1.73m(2)), appeared less suitable for cardiovascular risk prediction [integrated discrimination improvement (IDI) 0.006, P = 0.11], while cutoffs UAER > 6 μg/min and eGFR < 45 mL/min/1.73m(2) significantly improved IDI (0.047, P < 0.001).CONCLUSIONS: UAER and eGFR improved cardiovascular risk prediction beyond established cardiovascular risk factors, suggesting that these kidney biomarkers may be useful in predicting cardiovascular death in elderly men.
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| 7. |
- Wohlin, Martin, et al.
(author)
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Both cyclooxygenase- and cytokine-mediated inflammation are associated with carotid intima-media thickness
- 2007
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In: Cytokine. - : Elsevier BV. - 1043-4666 .- 1096-0023. ; 38:3, s. 130-136
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Journal article (peer-reviewed)abstract
- BACKGROUND: Common carotid artery intima-media thickness (CCA-IMT) is a valid index of atherosclerosis, which is viewed as an inflammatory disease. It is unknown if various modes of inflammation (cyclooxygenase [COX]-mediated, cytokine-mediated), oxidative stress and anti-oxidants are independently related to CCA-IMT. METHODS AND RESULTS: We investigated cross-sectional relations between CCA-IMT measured by B-mode ultrasound and COX-mediated inflammation (as measured by 15-keto-dihydro-prostaglandin F(2alpha) [PGF(2alpha)], cytokine-mediated inflammation (interleukin-6 [IL-6], high sensitivity C-reactive protein [hsCRP] and serum amyloid A protein [SAA]), oxidative stress (8-iso-PGF(2alpha), an F(2)-isoprostane; a non-enzymatic, free radical-induced product of arachidonic acid), and tocopherols (anti-oxidants) in a small subset of a population-based sample of elderly men (n=234) stating no use of anti-inflammatory medications. In a backward-stepwise regression analysis of correlates of CCA-IMT (with PGF(2alpha), hsCRP, IL-6, SAA, F(2)-isoprostanes, tocopherols, diabetes, body mass index (BMI), beta-blocker, statin treatment, smoking, hypertension and cholesterol), PGF(2alpha), CRP, beta-blocker treatment, diabetes and BMI were independently associated with CCA-IMT. There were no associations between F(2)-isoprostanes or tocopherols and CCA-IMT in this study. CONCLUSION: This study suggests both COX- and cytokine-mediated inflammation to be independently associated with increased CCA-IMT, implying that there might be more than one mode of inflammation involved in atherogenesis.
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| 8. |
- Zethelius, Björn, et al.
(author)
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Use of multiple biomarkers to improve the prediction of death from cardiovascular causes
- 2008
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In: New England Journal of Medicine. - 0028-4793 .- 1533-4406. ; 358:20, s. 2107-2116
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Journal article (peer-reviewed)abstract
- BACKGROUND: The incremental usefulness of adding multiple biomarkers from different disease pathways for predicting the risk of death from cardiovascular causes has not, to our knowledge, been evaluated among the elderly. METHODS: We used data from the Uppsala Longitudinal Study of Adult Men (ULSAM), a community-based cohort of elderly men, to investigate whether a combination of biomarkers that reflect myocardial cell damage, left ventricular dysfunction, renal failure, and inflammation (troponin I, N-terminal pro-brain natriuretic peptide, cystatin C, and C-reactive protein, respectively) improved the risk stratification of a person beyond an assessment that was based on the established risk factors for cardiovascular disease (age, systolic blood pressure, use or nonuse of antihypertensive treatment, total cholesterol, high-density lipoprotein cholesterol, use or nonuse of lipid-lowering treatment, presence or absence of diabetes, smoking status, and body-mass index). RESULTS: During follow-up (median, 10.0 years), 315 of the 1135 participants in our study (mean age, 71 years at baseline) died; 136 deaths were the result of cardiovascular disease. In Cox proportional-hazards models adjusted for established risk factors, all of the biomarkers significantly predicted the risk of death from cardiovascular causes. The C statistic increased significantly when the four biomarkers were incorporated into a model with established risk factors, both in the whole cohort (C statistic with biomarkers vs. without biomarkers, 0.766 vs. 0.664; P<0.001) and in the group of 661 participants who did not have cardiovascular disease at baseline (0.748 vs. 0.688, P=0.03). The improvement in risk assessment remained strong when it was estimated by other statistical measures of model discrimination, calibration, and global fit. CONCLUSIONS: Our data suggest that in elderly men with or without prevalent cardiovascular disease, the simultaneous addition of several biomarkers of cardiovascular and renal abnormalities substantially improves the risk stratification for death from cardiovascular causes beyond that of a model that is based only on established risk factors.
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